Cities with the Lowest Poverty Level in Ohio

Q: What are the Top 10 Cities with the Lowest Poverty Level in Ohio?

Top 10 Cities with the Lowest Poverty Level in Ohio are: #1 Loveland Park 0.27% . #2 Turpin Hills 0.33% . #3 Zaleski 0.48% . #4 Pleasant Plain 0.64% . #5 Berkey 0.65% . #6 Burkettsville 0.68% . #7 Lake Lorelei 0.70% . #8 Corwin 0.75% . #9 Beechwood Trails 0.86% . #10 New California 0.89% .

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Lowest Poverty

Population

Highest Population Highest Population Density Lowest Population Density Male / Female Ratio Female / Male Ratio Oldest Population Oldest Population | Male Oldest Population | Female Youngest Population Youngest Population | Male Youngest Population | Female

Families and Households

Largest Family Size Largest Household Size Most Single Fathers Most Single Mothers Fewest Single Fathers Fewest Single Mothers Smallest Family Size Smallest Household Size

Female Fertility

Female Fertility (Unmarried)

Race (Community Size)

Asian Black / African American Hawaiian / Pacific Hispanic or Latino Native / Alaskan White / Caucasian

Race (Percentage)

Asian Black / African American Hawaiian / Pacific Hispanic or Latino Native / Alaskan White / Caucasian

Ancestry (Community Size)

Afghan African Alaska Native Alaskan Athabascan Albanian Aleut Alsatian American Apache Arab Arapaho Argentinean Armenian Assyrian / Chaldean / Syriac Australian Austrian Bahamian Bangladeshi Barbadian Basque Belgian Belizean Bermudan Bhutanese Blackfeet Bolivian Brazilian British British West Indian Bulgarian Burmese Cajun Cambodian Canadian Cape Verdean Carpatho Rusyn Celtic Central American Central American Indian Cherokee Cheyenne Chickasaw Chilean Chinese Chippewa Choctaw Colombian Colville Comanche Costa Rican Cree Creek Croatian Crow Cuban Cypriot Czech Czechoslovakian Danish Delaware Dominican Dutch Dutch West Indian Eastern European Ecuadorian Egyptian English Estonian Ethiopian European Fijian Filipino Finnish French French American Indian French Canadian German German Russian Ghanaian Greek Guamanian / Chamorro Guatemalan Guyanese Haitian Hmong Honduran Hopi Houma Hungarian Icelander Indian (Asian)Indonesian Inupiat Iranian Iraqi Irish Iroquois Israeli Italian Jamaican Japanese Jordanian Kenyan Kiowa Korean Laotian Latvian Lebanese Liberian Lithuanian Lumbee Luxembourger Macedonian Malaysian Maltese Marshallese Menominee Mexican Mexican American Indian Mongolian Moroccan Native Hawaiian Navajo Nepalese New Zealander Nicaraguan Nigerian Northern European Norwegian Okinawan Osage Ottawa Paiute Pakistani Palestinian Panamanian Paraguayan Pennsylvania German Peruvian Pima Polish Portuguese Potawatomi Pueblo Puerto Rican Puget Sound Salish Romanian Russian Salvadoran Samoan Scandinavian Scotch-Irish Scottish Seminole Senegalese Serbian Shoshone Sierra Leonean Sioux Slavic Slovak Slovene Somali South African South American South American Indian Soviet Union Spaniard Spanish Spanish American Spanish American Indian Sri Lankan Subsaharan African Sudanese Swedish Swiss Syrian Taiwanese Thai Tlingit-Haida Tohono O'Odham Tongan Trinidadian and Tobagonian Tsimshian Turkish U.S. Virgin Islander Ugandan Ukrainian Uruguayan Ute Venezuelan Vietnamese Welsh West Indian Yakama Yaqui Yugoslavian Yuman Yup'ik Zimbabwean

Ancestry (Percentage)

Immigrant Origin (Total)

Afghanistan Africa Albania Argentina Armenia Asia Australia Austria Azores Bahamas Bangladesh Barbados Belarus Belgium Belize Bolivia Bosnia and Herzegovina Brazil Bulgaria Burma / Myanmar Cabo Verde Cambodia Cameroon Canada Caribbean Central America Chile China Colombia Congo Costa Rica Croatia Cuba Czechoslovakia Denmark Dominica Dominican Republic Eastern Africa Eastern Asia Eastern Europe Ecuador Egypt El Salvador England Eritrea Ethiopia Europe Fiji France Germany Ghana Greece Grenada Guatemala Guyana Haiti Honduras Hong Kong Hungary India Indonesia Iran Iraq Ireland Israel Italy Jamaica Japan Jordan Kazakhstan Kenya Korea Kuwait Laos Latin America Latvia Lebanon Liberia Lithuania Malaysia Mexico Micronesia Middle Africa Moldova Morocco Nepal Netherlands Nicaragua Nigeria North Macedonia Northern Africa Northern Europe Norway Oceania Pakistan Panama Peru Philippines Poland Portugal Romania Russia Saudi Arabia Scotland Senegal Serbia Sierra Leone Singapore Somalia South Africa South America South Central Asia South Eastern Asia Southern Europe Spain Sri Lanka St. Vincent and the Grenadines Sudan Sweden Switzerland Syria Taiwan Thailand Trinidad and Tobago Turkey Uganda Ukraine Uruguay Uzbekistan Venezuela Vietnam West Indies Western Africa Western Asia Western Europe Yemen Zaire Zimbabwe

Immigrant Origin (Percentage)

Income

Highest Per Capita Income Highest Earnings | Male Highest Earnings | Female Highest Wage/Income Gap ($)Highest Wage/Income Gap (%)Highest Inequality / Gini Index Lowest Per Capita Income Lowest Earnings | Male Lowest Earnings | Female Lowest Wage/Income Gap ($)Lowest Wage/Income Gap (%)Lowest Inequality / Gini Index

Income (Families)

Highest Family Income Lowest Family Income Family Income | $0-10k Family Income | $100k+Family Income | $200k+

Income (Households)

Highest Household Income Lowest Household Income Household Income | $0-10k Household Income | $200k+Household Income | $100k+

Poverty

Poverty (Families)

Unemployment

Employment Occupations

Architecture & Engineering Arts, Media & Entertainment Business & Financial Cleaning & Maintenance Community & Social Service Computer & Mathematics Computer, Engineering & Science Construction & Extraction Education Instruction & Library Education, Arts & Media Farming, Fishing & Forestry Firefighting & Prevention Food Preparation & Serving Health Diagnosing & Treating Health Technologists Healthcare Support Installation, Maintenance & Repair Law Enforcement Legal Services & Support Life, Physical & Social Science Management Material Moving Office & Administration Personal Care and Service Production Sales & Related Security & Protection Transportation

Employment Industries

Accommodation & Food Services Administrative & Support Services Agriculture, Fishing & Hunting Arts, Entertainment & Recreation Construction Educational Services Enterprise Management Finance & Insurance Health Care & Social Assistance Information & Technology Manufacturing Mining, Quarrying, & Extraction Professional & Scientific Services Public Administration Real Estate, Rental & Leasing Retail Trade Transportation & Warehousing Utilities Wholesale Trade

Employer Class

Private Company Employees Self-Employed / Incorporated Self-Employed / Not Incorporated Not-for-profit Organizations Local Government Employees State Government Employees Federal Government Employees Unpaid Family Workers

Commute Time

Longest Commute Longest Commute | Male Longest Commute | Female Shortest Commute Shortest Commute | Male Shortest Commute | Female

Commute Means

Drive | Alone Drive | Carpool Public Transit Taxi / Cab Walk to Work Work from Home

School Enrollment

In Private School Nursery / Preschool Kindergarten Elementary School Middle School High School College University

Education by Degree Field

Computers and Mathematics Bio, Nature & Agricultural Physical and Health Sciences Psychology Social Sciences Engineering Multidisciplinary Studies Science and Engineering Business Education Literature and Languages Liberal Arts and History Visual and Performing Arts Communications Arts and Humanities

Occupancy

Highest Owner-Occupied Highest Renter-Occupied Lowest Owner-Occupied Lowest Renter-Occupied

Finances

Highest Median Housing Costs Highest Property Prices Highest Owner Housing Costs Highest Renter Housing Costs Highest Housing Costs / Income Lowest Median Housing Costs Lowest Property Prices Lowest Owner Housing Costs Lowest Renter Housing Costs Lowest Housing Costs / Income

Physical Characteristics

Detached Home Residency Condo/Apartment Residency Utility Gas Heating Bottled Gas / LP Heating Electrical Heating Fuel Oil Heating Coal / Coke Heating Fuel-less Heating Households without a Cars Households with 1 or more Cars Households with 2 or more Cars Households with 3 or more Cars

Ohio

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Map of Cities with the Lowest Poverty Level in Ohio

3.0%

0.0%

Cities with the Lowest Poverty Level in Ohio

	City	Poverty	vs State	vs National
1.	Loveland Park	0.27%	13.3% (-13.0)#1	12.5% (-12.3)#41
2.	Turpin Hills	0.33%	13.3% (-13.0)#2	12.5% (-12.2)#61
3.	Sharon Center	0.37%	13.3% (-12.9)#3	12.5% (-12.2)#73
4.	Zaleski	0.48%	13.3% (-12.8)#4	12.5% (-12.1)#118
5.	Pleasant Plain	0.64%	13.3% (-12.7)#5	12.5% (-11.9)#179
6.	Berkey	0.65%	13.3% (-12.7)#6	12.5% (-11.9)#181
7.	Burkettsville	0.68%	13.3% (-12.6)#7	12.5% (-11.8)#197
8.	Lake Lorelei	0.70%	13.3% (-12.6)#8	12.5% (-11.8)#203
9.	Corwin	0.75%	13.3% (-12.6)#9	12.5% (-11.8)#230
10.	Beechwood Trails	0.86%	13.3% (-12.4)#10	12.5% (-11.7)#292
11.	New California	0.89%	13.3% (-12.4)#11	12.5% (-11.6)#306
12.	Independence	0.97%	13.3% (-12.3)#12	12.5% (-11.6)#339
13.	Riverlea	0.98%	13.3% (-12.3)#13	12.5% (-11.6)#344
14.	Terrace Park	0.98%	13.3% (-12.3)#14	12.5% (-11.6)#345
15.	Montgomery	0.99%	13.3% (-12.3)#15	12.5% (-11.5)#351
16.	Chickasaw	0.99%	13.3% (-12.3)#16	12.5% (-11.5)#359
17.	Homeworth	1.1%	13.3% (-12.2)#17	12.5% (-11.5)#389
18.	Yankee Lake	1.1%	13.3% (-12.2)#18	12.5% (-11.4)#427
19.	Kalida	1.1%	13.3% (-12.2)#19	12.5% (-11.4)#438
20.	Huber Ridge	1.1%	13.3% (-12.2)#20	12.5% (-11.4)#451
21.	Amberley	1.2%	13.3% (-12.2)#21	12.5% (-11.4)#456
22.	Mariemont	1.2%	13.3% (-12.1)#22	12.5% (-11.4)#460
23.	Curtice	1.3%	13.3% (-12.0)#23	12.5% (-11.3)#527
24.	The Village Of Indian Hill	1.3%	13.3% (-12.0)#24	12.5% (-11.3)#536
25.	Wyoming	1.3%	13.3% (-12.0)#25	12.5% (-11.3)#537
26.	Kings Mills	1.3%	13.3% (-12.0)#26	12.5% (-11.2)#554
27.	Bass Lake	1.3%	13.3% (-12.0)#27	12.5% (-11.2)#573
28.	Otway	1.3%	13.3% (-12.0)#28	12.5% (-11.2)#578
29.	Batesville	1.4%	13.3% (-11.9)#29	12.5% (-11.2)#610
30.	Powell	1.4%	13.3% (-11.9)#30	12.5% (-11.1)#643
31.	Richville	1.5%	13.3% (-11.8)#31	12.5% (-11.0)#719
32.	Miami Heights	1.5%	13.3% (-11.8)#32	12.5% (-11.0)#741
33.	Bluffton	1.5%	13.3% (-11.8)#33	12.5% (-11.0)#745
34.	Luckey	1.6%	13.3% (-11.7)#34	12.5% (-11.0)#752
35.	Holmesville	1.6%	13.3% (-11.7)#35	12.5% (-10.9)#776
36.	Plainfield	1.6%	13.3% (-11.7)#36	12.5% (-10.9)#817
37.	Sherwood	1.6%	13.3% (-11.7)#37	12.5% (-10.9)#829
38.	Madeira	1.7%	13.3% (-11.6)#38	12.5% (-10.9)#863
39.	Bowersville	1.7%	13.3% (-11.6)#39	12.5% (-10.8)#881
40.	Sugar Bush Knolls	1.7%	13.3% (-11.6)#40	12.5% (-10.8)#893
41.	Lloydsville	1.7%	13.3% (-11.6)#41	12.5% (-10.8)#903
42.	Sterling	1.7%	13.3% (-11.6)#42	12.5% (-10.8)#906
43.	North Perry	1.8%	13.3% (-11.5)#43	12.5% (-10.8)#927
44.	Newport Cdp Washington County	1.8%	13.3% (-11.5)#44	12.5% (-10.8)#936
45.	Pandora	1.8%	13.3% (-11.5)#45	12.5% (-10.8)#938
46.	Maplewood Park	1.8%	13.3% (-11.5)#46	12.5% (-10.7)#968
47.	St Henry	1.8%	13.3% (-11.5)#47	12.5% (-10.7)#980
48.	Sheffield	1.9%	13.3% (-11.5)#48	12.5% (-10.7)#1,001
49.	New Albany	1.9%	13.3% (-11.4)#49	12.5% (-10.6)#1,039
50.	Montezuma	1.9%	13.3% (-11.4)#50	12.5% (-10.6)#1,063
51.	Darbydale	1.9%	13.3% (-11.4)#51	12.5% (-10.6)#1,086
52.	Stoutsville	2.0%	13.3% (-11.3)#52	12.5% (-10.6)#1,098
53.	Coldwater	2.0%	13.3% (-11.3)#53	12.5% (-10.6)#1,112
54.	Osgood	2.0%	13.3% (-11.3)#54	12.5% (-10.6)#1,118
55.	Woodville	2.1%	13.3% (-11.3)#55	12.5% (-10.5)#1,192
56.	Aurora	2.1%	13.3% (-11.2)#56	12.5% (-10.5)#1,230
57.	Miller City	2.1%	13.3% (-11.2)#57	12.5% (-10.5)#1,233
58.	Minster	2.1%	13.3% (-11.2)#58	12.5% (-10.4)#1,248
59.	Shawnee Hills	2.1%	13.3% (-11.2)#59	12.5% (-10.4)#1,249
60.	Highland Heights	2.1%	13.3% (-11.2)#60	12.5% (-10.4)#1,253
61.	Harbor Hills	2.1%	13.3% (-11.2)#61	12.5% (-10.4)#1,286
62.	Dublin	2.1%	13.3% (-11.2)#62	12.5% (-10.4)#1,292
63.	Brimfield	2.2%	13.3% (-11.1)#63	12.5% (-10.4)#1,308
64.	Canfield	2.2%	13.3% (-11.1)#64	12.5% (-10.3)#1,338
65.	Glenford	2.2%	13.3% (-11.1)#65	12.5% (-10.3)#1,363
66.	Groveport	2.2%	13.3% (-11.1)#66	12.5% (-10.3)#1,364
67.	Stony Ridge	2.3%	13.3% (-11.0)#67	12.5% (-10.3)#1,417
68.	Highpoint	2.3%	13.3% (-11.0)#68	12.5% (-10.3)#1,424
69.	Atwater	2.3%	13.3% (-11.0)#69	12.5% (-10.2)#1,436
70.	Concorde Hills	2.3%	13.3% (-11.0)#70	12.5% (-10.2)#1,461
71.	New Baltimore	2.3%	13.3% (-11.0)#71	12.5% (-10.2)#1,477
72.	Mack	2.4%	13.3% (-10.9)#72	12.5% (-10.2)#1,539
73.	Marble Cliff	2.4%	13.3% (-10.9)#73	12.5% (-10.1)#1,544
74.	Mount Repose	2.4%	13.3% (-10.9)#74	12.5% (-10.1)#1,590
75.	Lake Mohawk	2.4%	13.3% (-10.9)#75	12.5% (-10.1)#1,612
76.	Lake Tomahawk	2.4%	13.3% (-10.9)#76	12.5% (-10.1)#1,614
77.	Marlboro	2.5%	13.3% (-10.8)#77	12.5% (-10.1)#1,637
78.	Worthington	2.5%	13.3% (-10.8)#78	12.5% (-10.1)#1,649
79.	Pepper Pike	2.5%	13.3% (-10.8)#79	12.5% (-10.0)#1,692
80.	Silver Lake	2.5%	13.3% (-10.8)#80	12.5% (-10.0)#1,702
81.	Taylor Creek	2.6%	13.3% (-10.8)#81	12.5% (-9.98)#1,736
82.	Fort Recovery	2.6%	13.3% (-10.7)#82	12.5% (-9.98)#1,740
83.	Gann Brinkhaven	2.6%	13.3% (-10.7)#83	12.5% (-9.97)#1,751
84.	Ottawa Hills	2.6%	13.3% (-10.7)#84	12.5% (-9.94)#1,777
85.	Evendale	2.6%	13.3% (-10.7)#85	12.5% (-9.94)#1,781
86.	Upper Arlington	2.6%	13.3% (-10.7)#86	12.5% (-9.93)#1,785
87.	Woodsdale	2.6%	13.3% (-10.7)#87	12.5% (-9.92)#1,802
88.	Ballville	2.6%	13.3% (-10.7)#88	12.5% (-9.92)#1,803
89.	Bentonville	2.6%	13.3% (-10.7)#89	12.5% (-9.89)#1,832
90.	Landen	2.7%	13.3% (-10.6)#90	12.5% (-9.87)#1,861
91.	Monfort Heights	2.7%	13.3% (-10.6)#91	12.5% (-9.87)#1,863
92.	Millfield	2.7%	13.3% (-10.6)#92	12.5% (-9.82)#1,910
93.	South Vienna	2.7%	13.3% (-10.6)#93	12.5% (-9.82)#1,914
94.	Ridgeway	2.7%	13.3% (-10.6)#94	12.5% (-9.79)#1,954
95.	Hills And Dales	2.8%	13.3% (-10.5)#95	12.5% (-9.78)#1,963
96.	Bascom	2.8%	13.3% (-10.5)#96	12.5% (-9.75)#1,995
97.	South Russell	2.8%	13.3% (-10.5)#97	12.5% (-9.74)#2,007
98.	Ridgewood	2.8%	13.3% (-10.5)#98	12.5% (-9.69)#2,055
99.	Brecksville	2.9%	13.3% (-10.4)#99	12.5% (-9.63)#2,136
100.	Helena	2.9%	13.3% (-10.4)#100	12.5% (-9.61)#2,152